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57 results on '"Albers DJ"'

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1. The Parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems

2. Population physiology: leveraging population scale (EHR) data to understand human endocrine dynamics

3. Estimation of time-delayed mutual information and bias for irregularly and sparsely sampled time-series

5. The Recent Increase in Invasive Bacterial Infections: A Report From the National COVID Cohort Collaborative.

6. Empirical phenotyping in coupled patient+care systems: Generating low-dimensional categories for hypothesis-driven investigation of mechanically-ventilated patients.

7. Dynamic driving pressure predicts ventilator-induced lung injury in mice with and without endotoxin-induced acute lung injury.

8. Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management.

9. Flow-Limited and Reverse-Triggered Ventilator Dyssynchrony Are Associated With Increased Tidal and Dynamic Transpulmonary Pressure.

10. Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model.

11. International Consensus Criteria for Pediatric Sepsis and Septic Shock.

12. Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock.

13. A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation.

14. The Development, Optimization, and Validation of Four Different Machine Learning Algorithms to Identify Ventilator Dyssynchrony.

15. β-cell intrinsic dynamics rather than gap junction structure dictates subpopulations in the islet functional network.

16. Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity.

17. Differential effects of two-hit models of acute and ventilator-induced lung injury on lung structure, function, and inflammation.

18. A simple modeling framework for prediction in the human glucose-insulin system.

19. Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research.

20. Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery.

21. Inferring Insulin Secretion Rate from Sparse Patient Glucose and Insulin Measures.

22. Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study.

23. A Damaged-Informed Lung Ventilator Model for Ventilator Waveforms.

25. Neural Networks for Mortality Prediction: Ready for Prime Time?

26. From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.

28. Enabling personalized decision support with patient-generated data and attributable components.

29. A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study.

30. The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.

31. Low hemoglobin and hematoma expansion after intracerebral hemorrhage.

32. Ensemble Kalman Methods With Constraints.

33. Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.

34. Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

35. A visual analytics approach for pattern-recognition in patient-generated data.

36. High-fidelity phenotyping: richness and freedom from bias.

37. Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.

38. An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0.

39. Personalized glucose forecasting for type 2 diabetes using data assimilation.

40. Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data.

41. Data-driven health management: reasoning about personally generated data in diabetes with information technologies.

42. Parameterizing time in electronic health record studies.

43. Temporal trends of hemoglobin A1c testing.

44. Identifying and mitigating biases in EHR laboratory tests.

45. Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.

46. Correlating electronic health record concepts with healthcare process events.

47. Discovering medical conditions associated with periodontitis using linked electronic health records.

48. Next-generation phenotyping of electronic health records.

49. Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations.

50. Data assimilation of glucose dynamics for use in the intensive care unit.

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